David Thurtle1, Val Jenkins2, Alex Freeman3, Mike Pearson3, Gabriel Recchia3, Priya Tamer4, Kelly Leonard4, Paul Pharoah5, Jonathan Aning6, Sanjeev Madaan7, Chee Goh8, Serena Hilman9, Stuart McCracken10, Petre Cristian Ilie11, Henry Lazarowicz12, Vincent Gnanapragasam13. 1. Department of Surgery, University of Cambridge School of Clinical Medicine, Cambridge, UK. Electronic address: dt433@cam.ac.uk. 2. Brighton and Sussex Medical School, Brighton, UK. 3. Winton Centre for Risk and Evidence Communication, University of Cambridge, Cambridge, UK. 4. University of Cambridge School of Clinical Medicine, Cambridge, UK. 5. Department of Community Medicine, University of Cambridge, Cambridge, UK; Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. 6. University Hospitals Bristol NHS Foundation Trust, Bristol, UK. 7. Dartford and Gravesham NHS Trust, Dartford, UK. 8. Surrey and Sussex Healthcare NHS Trust, Surrey, UK. 9. University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK. 10. Sunderland Royal Hospital, Sunderland, UK. 11. Queen Elizabeth Hospital King's Lynn NHS Foundation Trust, King's Lynn, UK. 12. Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK. 13. Department of Surgery, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Abstract
BACKGROUND: Predict Prostate is a freely available online personalised risk communication tool for men with nonmetastatic prostate cancer. Its accuracy has been assessed in multiple validation studies, but its clinical impact among patients has not hitherto been assessed. OBJECTIVE: To assess the impact of the tool on patient decision-making and disease perception. DESIGN, SETTING, AND PARTICIPANTS: A multicentre randomised controlled trial was performed across eight UK centres among newly diagnosed men considering either active surveillance or radical treatment. A total of 145 patients were included between 2018 and 2020, with median age 67 yr (interquartile range [IQR] 61-72) and prostate-specific antigen 6.8 ng/ml (IQR 5.1-8.8). INTERVENTION: Participants were randomised to either standard of care (SOC) information or SOC and a structured presentation of the Predict Prostate tool. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Validated questionnaires were completed by assessing the impact of the tool on decisional conflict, uncertainty, anxiety, and perception of survival. RESULTS AND LIMITATIONS: Mean Decisional Conflict Scale scores were 26% lower in the Predict Prostate group (mean = 16.1) than in the SOC group (mean = 21.7; p = 0.027). Scores on the "support", "uncertainty", and "value clarity" subscales all favoured Predict Prostate (all p < 0.05). There was no significant difference in anxiety scores or final treatment selection between the two groups. Patient perception of 15-yr prostate cancer-specific mortality (PCSM) and overall survival benefit from radical treatment were considerably lower and more accurate among men in the Predict Prostate group (p < 0.001). In total, 57% of men reported that the Predict Prostate estimates for PCSM were lower than expected, and 36% reported being less likely to select radical treatment. Over 90% of patients in the intervention group found it useful and 94% would recommend it to others. CONCLUSIONS: Predict Prostate reduces decisional conflict and uncertainty, and shifts patient perception around prognosis to be more realistic. This randomised trial demonstrates that Predict Prostate can directly inform the complex decision-making process in prostate cancer and is felt to be useful by patients. Future larger trials are warranted to test its impact upon final treatment decisions. PATIENT SUMMARY: In this national study, we assessed the impact of an individualised risk communication tool, called Predict Prostate, on patient decision-making after a diagnosis of localised prostate cancer. Men were randomly assigned to two groups, which received either standard counselling and information, or this in addition to a structured presentation of the Predict Prostate tool. Men who saw the tool were less conflicted and uncertain in their decision-making, and recommended the tool highly. Those who saw the tool had more realistic perception about their long-term survival and the potential impact of treatment upon this. TAKE HOME MESSAGE: The use of an individualised risk communication tool, such as Predict Prostate, reduces patient decisional conflict and uncertainty when deciding about treatment for nonmetastatic prostate cancer. The tool leads to more realistic perceptions about survival outcomes and prognosis.
BACKGROUND: Predict Prostate is a freely available online personalised risk communication tool for men with nonmetastatic prostate cancer. Its accuracy has been assessed in multiple validation studies, but its clinical impact among patients has not hitherto been assessed. OBJECTIVE: To assess the impact of the tool on patient decision-making and disease perception. DESIGN, SETTING, AND PARTICIPANTS: A multicentre randomised controlled trial was performed across eight UK centres among newly diagnosed men considering either active surveillance or radical treatment. A total of 145 patients were included between 2018 and 2020, with median age 67 yr (interquartile range [IQR] 61-72) and prostate-specific antigen 6.8 ng/ml (IQR 5.1-8.8). INTERVENTION: Participants were randomised to either standard of care (SOC) information or SOC and a structured presentation of the Predict Prostate tool. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Validated questionnaires were completed by assessing the impact of the tool on decisional conflict, uncertainty, anxiety, and perception of survival. RESULTS AND LIMITATIONS: Mean Decisional Conflict Scale scores were 26% lower in the Predict Prostate group (mean = 16.1) than in the SOC group (mean = 21.7; p = 0.027). Scores on the "support", "uncertainty", and "value clarity" subscales all favoured Predict Prostate (all p < 0.05). There was no significant difference in anxiety scores or final treatment selection between the two groups. Patient perception of 15-yr prostate cancer-specific mortality (PCSM) and overall survival benefit from radical treatment were considerably lower and more accurate among men in the Predict Prostate group (p < 0.001). In total, 57% of men reported that the Predict Prostate estimates for PCSM were lower than expected, and 36% reported being less likely to select radical treatment. Over 90% of patients in the intervention group found it useful and 94% would recommend it to others. CONCLUSIONS: Predict Prostate reduces decisional conflict and uncertainty, and shifts patient perception around prognosis to be more realistic. This randomised trial demonstrates that Predict Prostate can directly inform the complex decision-making process in prostate cancer and is felt to be useful by patients. Future larger trials are warranted to test its impact upon final treatment decisions. PATIENT SUMMARY: In this national study, we assessed the impact of an individualised risk communication tool, called Predict Prostate, on patient decision-making after a diagnosis of localised prostate cancer. Men were randomly assigned to two groups, which received either standard counselling and information, or this in addition to a structured presentation of the Predict Prostate tool. Men who saw the tool were less conflicted and uncertain in their decision-making, and recommended the tool highly. Those who saw the tool had more realistic perception about their long-term survival and the potential impact of treatment upon this. TAKE HOME MESSAGE: The use of an individualised risk communication tool, such as Predict Prostate, reduces patient decisional conflict and uncertainty when deciding about treatment for nonmetastatic prostate cancer. The tool leads to more realistic perceptions about survival outcomes and prognosis.
Authors: Ruben D Vromans; Saar Hommes; Felix J Clouth; Deborah N N Lo-Fo-Wong; Xander A A M Verbeek; Lonneke van de Poll-Franse; Steffen Pauws; Emiel Krahmer Journal: BMC Med Inform Decis Mak Date: 2022-10-05 Impact factor: 3.298